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Post Graduate Programme in Machine Learning & AI (Executive) - IIITB

Transform Your Career with Machine Learning & AI

Explore India's best selling programme with a 4.5 star learner’s rating.

Learn in-demand skills like Deep Learning, Generative AI, NLP etc.

Master 20+ programming and Gen AI tools while also working on 15+ industry projects.

Talk to our Learning Consultants

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Introduction to PGP in ML & AI from IIIT Bangalore

Course Snapshot

600+

Hours of Learning

15+

Industry Projects

1

Free Deferral

20+ Programming and Gen AI tools

Up to date modules integrated with Generative AI

Live sessions to cover ChatGPT, Dall-E, Whisper, Pinecone

6 Practical Hands-on Capstone Projects

60+ Case Studies & 15+ Industry Projects

1:1 Career Mentorship and High Performance Coaching

Hassle-free, No Cost EMI Options Available

Launch and deploy Generative AI apps

IIIT Bangalore campus is approved by AICTE and recognized by the UGC & Program is a WES recognized

NAAC A+ Accreditation (2021) & NIRF rank 74 (2023)

Curriculum equivalent to NSQF level 8

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PG In ML And AI Career Outcomes

What our learners have achieved?

A quick summary of the placement support received by this program's alumni

52%
Avg. Salary Hike
300+
Hiring Partners
5/6
Learners saw positive career growth
2.5k+
Successful transitions

Top Recruiters

Accenture
Microsoft
Flipkart
Amazon
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Instructors Of PG In AI & ML

Whom will you learn from?

4

Instructors

6

Industry Experts

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Prof. Chandrashekar Ramanathan

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Dean - Academics

Prof. Chandrashekar has a PhD from Mississippi State University and experience of over 10 years in several multinational organisations. 

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Prof. G. Srinivasaraghavan

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Professor

Prof. Srinivasaraghavan has a PhD in Computer Science from IIT-K and 18 years of experience with Infosys and several other MNCs. 

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Prof. Tricha Anjali

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Ex-Associate Dean

Pratik hProf. Anjali has a PhD from Georgia Institute of Technology as well as an integrated MTech (EE) from IIT Bombay.as about 13 years ex… Read More

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Dr. Debabrata Das

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Director of IIITB

Dr. Debabrata Das is Director of IIITB. He has received his PhD from IIT-KGP. His main areas of research are IoT and Wireless Access Network… Read More

IIITB Profile

PG Programme in ML & AI (Executive) Certification

Earn valuable credentials

Get WES recognised PG certificate from IIIT Bangalore AI ML program, equivalent to 1-year PG Diploma in Machine Learning and Artificial Intelligence

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PG Programme in ML and AI (Executive)

Leverage your Executive PG Programme certification and unlock a pathway to a Master’s Degree from LJMU, UK.

PG Programme in ML & AI (Executive) Curriculum

Learn with a
World-Class Curriculum

Duration

7 Weeks

Stats and EDA:

A course focused on the application of statistics, data visualization, and SQL for effective data analysis and pattern recognition

Topics Covered:

  • Data Viz. using Python/Intro to Git & Github [Optional]/Welcome
  • EDA
  • Basic SQL
  • Advanced SQL
  • Lending club case study
  • Inferential Stats
  • Hypothesis Testing

Tools and Technologies You'll Master

Python
Python
Excel
Excel
Pandas
Pandas
Numpy
Numpy

Duration

7 Weeks

Machine Learning I:

An introductory course to Machine Learning, covering foundational concepts and techniques.

Topics Covered:

  • Linear Regression Module
  • Linear Regression Module
  • Linear Regression Assignment:Bike sharing company(demand regression)
  • Logistic Regression
  • Naive Bayes + SVM {optional}
  • Model Selection

Tools and Technologies You'll Master

Python
Python
Excel
Excel
Pandas
Pandas
Numpy
Numpy

Duration

8 Weeks

Machine Learning II:

An advanced course in Machine Learning, delving into complex techniques for data analysis and prediction..

Topics Covered:

  • Advanced Regression
  • Tree Models
  • Random Forests + Practical Considerations
  • Boosting
  • Unsupervised Clustering
  • PCA
  • Telecom Churn Case Study

Tools and Technologies You'll Master

Python
Python
Excel
Excel
Pandas
Pandas
Numpy
Numpy

Duration

8 Weeks

Deep Learning:

A detailed exploration of Deep Learning, introducing the principles of Neural Networks and their applications.

Topics Covered:

  • Introduction to Neural Networks - Part 1
  • Introduction to Neural Networks - Part 2
  • Convolutional Neural Networks
  • Assignment: Convolutional Neural Networks
  • Recurrent Neural Networks
  • Gesture Recognition - Project

Tools and Technologies You'll Master

Python
Python
Excel
Excel
Pandas
Pandas
Numpy
Numpy

Duration

7 Weeks

Natural Language Processing:

A specialized course in Natural Language Processing, exploring how machines can understand and interpret human language

Topics Covered:

  • NLP - Lexical Processing
  • NLP - Syntactic Processing
  • NLP Assignment - Syntactic Processing
  • NLP - Semantic Processing
  • NLP - Semantic Processing
  • Ticket classification Project

Tools and Technologies You'll Master

Python
Python
Excel
Excel
Pandas
Pandas
Numpy
Numpy

Duration

17 Weeks

MLOps Elective:

The course covers the basics of MLOps, various pre-requisites such as clean code principles, best Python practices etc. and the principles of MLOps in MLflow - a popular MLOps platform. Further, ML:OPs is covered in the context of computer vision and NLP domains with use-cases and examples

Topics Covered:

  • Pre-Requisite Module
  • Introduction to MLops
  • Designing Machine Learning Systems
  • Experimenting with Data and Model using MLflow
  • Automating and Orchestrating piepelines with Airflow
  • Building continuous learning infrastructure
  • MLOps Project
  • Advanced NLP- Introduction to Attention Mechanism
  • Advanced NLP- Introduction to Transformers
  • Advanced CV- Object Detection & Semantic Segmentation
  • MLOps + Deployment: DL (Theory)
  • MLOps + Deployment: DL (Case Study)

Tools and Technologies You'll Master

Python
Python
Excel
Excel
Pandas
Pandas
Numpy
Numpy

Duration

17 Weeks

Generative AI Elective:

The course provides an overview of generative ai concepts starting with an introduction to transformer architecture and applications in Machine Translation area. The course also teaches concepts on system design using LLMs such as OpenAI APIs and creating LLM-based applications such as ShopAssist AI, a product recommendation system, HelpMate AI, a RAG application, LLM frameworks such as LangChain, LlamaIndex etc., and general techniques on building scalable GenAI applications deployed on cloud instances.

Topics Covered:

  • Working with ChatGPT APIs
  • System Design and Building ShopAssist - Part I
  • System Design and Building ShopAssist - Part II
  • ShopAssist Project Submission + Deployment [Optional]
  • Advanced NLP - Introduction to Attention Mechanism
  • Advanced NLP - Introduction to Transformers
  • Vector Databases and Retrieval-Augmented Generation
  • Mr.HelpMate AI Project Submission
  • Building LLM applications using LangChain
  • Building LLM applications using Llamaindex
  • Finetuning Large Language Models
  • SemanticSpotter Project Submission
  • Scale and Deploy Generative AI Apps
  • Future Developments in Generative AI
  • Fundamentals of Multimodal models like Stable Diffusion, Mid Journey + Working with StableDiffusion in Python (Optional)
  • Capstone

Tools and Technologies You'll Master

Python
Python
Excel
Excel
Pandas
Pandas
Numpy
Numpy

PG In AI & ML Related Projects

Learn by Doing

Gain industry exposure with relevant projects taught by leading faculty from IIIT Bangalore AI ML department and industry leaders.

15+

Industry Projects

Slide 1 of 16

In this PG Diploma in AI project, you will work for a consumer finance company that specialises in lending various types of loans to urban customers and use EDA to analyse the patterns in the data. This will ensure that the applicants are capable of repaying the loan and are not rejected.

Data Analysis

Data Visualisation

Data Interpretation

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Credit EDA Assignment

In this PG Diploma in AI project, you will work for a consumer finance company that specialises in lending various types of loans to urban customers a…  Know More

Skills learned

Data Cleaning

Data Analysis

Data Visualisation

Data Interpretation

As a business analyst, I've been tasked with helping a telecom company combat customer churn, a major pain point in the competitive telecom industry. To achieve this, I propose a data-driven approach that leverages the power of Masters in Artificial Intelligence and Machine Learning.

Tree Models

Model Selection

Feature Engineering

Classification

ML Modelling

Model Evaluation

Business Problem Solving

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Model Selection Case Study -Telecom Churn

As a business analyst, I've been tasked with helping a telecom company combat customer churn, a major pain point in the competitive telecom industry. … Know more

Skills learned

Logistic Regression

Tree Models

Model Selection

Feature Engineering

Classification

ML Modelling

Model Evaluation

Business Problem Solving

Telecom companies operate in a fiercely competitive landscape like artificial intelligence and machine learning masters, constantly grappling with the challenge of customer churn. A data scientist can play a critical role in identifying churn-prone customers and devising data-driven strategies to retain them, ultimately boosting customer lifetime value and improving profitability.

Tree Models

Boosting

Model Selection

Regularization

Feature Engineering

Classification

ML Modelling

Model Evaluation

Business Problem Solving

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Advanced ML Case Study - Telecom Churn

Telecom companies operate in a fiercely competitive landscape like artificial intelligence and machine learning masters, constantly grappling with the…  Know More

Skills learned

Logistic Regression

Tree Models

Boosting

Model Selection

Regularization

Feature Engineering

Classification

ML Modelling

Model Evaluation

Business Problem Solving

In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to analyse the patterns present in the data. This will ensure that the applicants are capable of repaying the loan and are not rejected.

Data Visualisation

Data Analysis

Data Interpretation

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Lending Club Case Study

In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to… Konw more

Skills learned

Data Cleaning

Data Visualisation

Data Analysis

Data Interpretation

Data Cleaning

Data Visualisation

Linear Regression

Data Interpretation

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Bike Sharing Assignment

Build a regression model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue. 

Skills learned

Data Analysis

Data Cleaning

Data Visualisation

Linear Regression

Data Interpretation

Data Visualisation

Data Analysis

Data Interpretation

Generalized Linear Regression

Regularization

Hyperparameter Tuning

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Advanced Regression Assignment

Build a Tableau dashboard of IPL statistics over the years in order to create an infographic for a newsletter. 

Skills learned

Data Cleaning

Data Visualisation

Data Analysis

Data Interpretation

Generalized Linear Regression

Regularization

Hyperparameter Tuning

Data Visualization

Convolutional Neural Network

Model Building and Training

Data Augmentation

Class Imbalance

Model Evaluation

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Melanoma Detection Assignment

Build a custom convolutional neural network neural network from scratch in Tensorflow to identify the type of skin cancer from image. 

Skills learned

Data Understanding

Data Visualization

Convolutional Neural Network

Model Building and Training

Data Augmentation

Class Imbalance

Model Evaluation

3D Convs

CNN-RNN

Generator Functions

Model Building and Training

Model Tuning

Model Evaluation

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Gesture Recognition Project

Make a Smart TV system which can control the TV with user’s hand gestures as the remote control. 

Skills learned

Data Understanding

3D Convs

CNN-RNN

Generator Functions

Model Building and Training

Model Tuning

Model Evaluation

Text cleaning

Bag-of-Words model

TF-IDF

Model building

PoS tagging

Parsing

NER

Custom NER and CRF

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Custom Entity detection in Healthcare data

Build a custom NER to get the list of diseases and their treatment from a medical healthcare dataset. 

Skills learned

Regular expressions

Text cleaning

Bag-of-Words model

TF-IDF

Model building

PoS tagging

Parsing

NER

Custom NER and CRF

Data Preprocessing

Data Visualisation

Feature Extraction

Topic Modelling

Model Building

Model Inference

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Classification of customer complaints

Create a solution that will help in identifying the type of complaint ticket raised by the customers of a multinational bank 

Skills learned

Data Cleaning

Data Preprocessing

Data Visualisation

Feature Extraction

Topic Modelling

Model Building

Model Inference

Build an end-to-end MLOps pipeline for an edtech company to identify customers most likely to convert and streamline the overall lead conversion process

MLflow

Data Ingestion Pipeline

Model Training Pipeline

Model Inference Pipeline

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Lead Scoring

Build an end-to-end MLOps pipeline for an edtech company to identify customers most likely to convert and streamline the overall lead conversion proce… Know More

Skills learned

Pycaret

MLflow

Data Ingestion Pipeline

Model Training Pipeline

Model Inference Pipeline

Model tuning

Data cleaning and wrangling

EDA and visualisation

Generative Adversarial Network (GAN)

CycleGAN

ML Modelling

Model Evaluation

Business Problem Solving

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Style Transfer using GAN's

Build a Model for converting MRI images from one type (T1) into other (T2) and vice versa. 

Skills learned

Custom model building

Model tuning

Data cleaning and wrangling

EDA and visualisation

Generative Adversarial Network (GAN)

CycleGAN

ML Modelling

Model Evaluation

Business Problem Solving

Data Preparation

Time Series Analysis - ARIMA, SARIMA, VAR, VARMAX

Model evaluation

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Sales Forecasting

Help an European pharma giant accurately forecast sales at their individual stores 

Skills learned

Data Understanding

Data Preparation

Time Series Analysis - ARIMA, SARIMA, VAR, VARMAX

Model evaluation

Image captioning

Text to speech

CNN-RNN based architecture

Attention model

Custom model building using Tensorflow

Data preparation using Tensorflow

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Eye for the Blind

Build a model that can help any visually impaired person in understanding image present before them. 

Skills learned

Computer vision

Image captioning

Text to speech

CNN-RNN based architecture

Attention model

Custom model building using Tensorflow

Data preparation using Tensorflow

Build a sentiment analysis based product recommendation system to recommend the similar products to the users. Sentiment analysis is used to fine tune the product recommendation system.

Lexical Processing

ML Model building

Recommender System

Model evaluation

Model deployment

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Sentiment analysis based Product Recommender system

Build a sentiment analysis based product recommendation system to recommend the similar products to the users. Sentiment analysis is used to fine tune… Know More

Skills learned

Data preparation

Lexical Processing

ML Model building

Recommender System

Model evaluation

Model deployment

Build a model to using the concepts of natural language processing and recommender systems to recommend news stories to users on a popular news platform.

Collaborative Filtering

Content-based Filtering

Hybrid Recommender System

Exploratory data analysis

Machine learning

Model building

Model evaluation

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News Recommender System

Build a model to using the concepts of natural language processing and recommender systems to recommend news stories to users on a popular news platfo… Know More

Skills learned

Data Preparation

Collaborative Filtering

Content-based Filtering

Hybrid Recommender System

Exploratory data analysis

Machine learning

Model building

Model evaluation

HOW OUR PROGRAM COMPARES

Why is our program the best in the market?

Breadth and depth of curriculum

Gen AI infusion

Specialisations

Deloitte-audited outcomes

Extensive live support

upGrad

Designed and aligned to current industry needs

Extensive coverage of Gen AI topics along with projects

15 weeks of specialized content, with 2 specialized tracks to choose from

Yes

Live Sessions and Personalised industry sessions every weekend

Other Courses

Limited alignment with industry needs

Very limited and superficial coverage

Most of the competitor courses do not have specialized content

No

Lesser no of live sessions; Most of the courses do not offer personalised industry sessions

About this Program

Why take up this course?

A quick summary of the services offered with this Program

Slide 1 of 3
USPs_Banner__PwC India Projects-cef78a79e98745259195c86138bddbb4.webp

Hands-on Learning

Build a robust portfolio with 7 Industry Projects and study practically through 35 Case Studies and 80 practice caselets.

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Live Sessions

Attend 100+ Hours of Live Sessions with Industry Experts and 2 PwC India Masterclasses, where you’ll get answers to learn and ask doubts one-on-one.

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Integrated Placement Training

Get interview-ready with Mock Interviews, Resume Building Workshops and specialised interview prep for Excel, Python, SQL and more.

Course Fee

Starting at INR 7,430/month Totally INR 3,35,000* Incl. Taxes

600+ hrs of learning and Interaction with faculty. Access to 360 career support

Data Engineer

Alumni of PG in AI and ML Course

What Our Learners Have To Say

Slide 1 of 9

Thanks upGrad for providing a comprehensive path for learning

I’m happy to share that I’m starting a new position as a Machine Learning Engineer at Adeptmind after finishing my PG Program in Artificial Intelligen… Read More

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Ayush Mandowara

Machine Learning @ Adeptmind

4 Years of Experience

I was on cloud nine when I learned of my promotion!

I'm on top of the world since I received Masters Certification in Machine Learning from Liverpool John Moores University - UK after excelling in this … Read More

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Yadu Singh

Principal-Data Science & HOP @ U-Next

10 Years of Experience

This would not be an achievement without upGrad and IIIT B.

My sincere gratitude to IIIT-B’s PG Diploma in Machine Learning and AI and upGrad for empowering my career transformation through this amazing PG in M… Read More

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Sakshi Maharana

Decision Scientist II @ Mu Sigma Inc.

2 Years of Experience

A course that inspired me and channelised me in the right direction

If you aspire to level up, connect with an empowering mentor who motivates progress. My sincere appreciation to career coach Hemansi for her invaluabl… Read More

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Mohit Khanna

R&D Manager (II) – EDA SW Engineering @ Keysight Technologies

21 Years of Experience

upGrad continues to amaze us by helping in a lifelong learning!

Kudos to upGrad for this thoughtful meet of all alumni from PG Diploma in Machine Learning course. This brought us all together in person after 2+ yea… Read More

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Darpan Bafana

Senior Software Engineer - AI @ CitiusTech

5 Years of Experience

Big thanks to everyone - I would not be where I am today without you.

Ringing in the new year with new beginnings - I'm delighted to have joined Capgemini as Consultant in Data Science thanks to my post graduate diploma … Read More

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Akash T.

Consultant - Data Science @ Capgemini

5 Years of Experience

Thanks upGrad for giving me the platform and opportunity to apply for the job

I am pleased to have joined CitiusTech as Senior Engineer, AI leveraging knowledge gained through my postgraduate program in artificial intelligence a… Read More

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Arpan Chattopadhyay

Senior Application Developer @ IBM

6 Years of Experience

My life's first graduation - thanks to upGrad's PG Diploma in AI and ML

My first-ever graduation ceremony occurred virtually this week completing the PG Diploma in Machine Learning from the prestigious IIIT Bangalore. I'm … Read More

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Sworna Vidhya Mahadevan

Senior Consultant @ Capgemini

10 Years of Experience

I am so excited to apply these techniques and learning in my work.

A huge thanks to upGrad and IIIT-B for making my PG Diploma in Machine Learning and Artificial Intelligence graduation possible. My exceptional instru… Read More

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Abhijeet Mhatre

Senior Data Scientist @ GE Transportation

6 Years of Experience

Frequently Asked Questions

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Talk to our experts. We are available 7 days a week, 9 AM to 12 AM (midnight)

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Indian Nationals

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Foreign Nationals

Disclaimer

1.The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.

2.The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not provide any a.